/**
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.hama.ml.regression;

import java.math.BigDecimal;

import org.apache.hama.commons.math.DoubleVector;

/**
 * The mathematical model chosen for a specific learning problem
 */
public interface HypothesisFunction {

  /**
   * Applies this <code>HypothesisFunction</code> to given a set of parameters theta and 
   * input x
   * 
   * @param theta the parameters vector
   * @param x the input
   * @return a <code>BigDecimal</code> representing the number
   */
  public BigDecimal applyHypothesis(DoubleVector theta, DoubleVector x);

}
